NVIDIA Jetson AGX Orin 64GB Developer Kit (275 TOPS, 64GB, 60W)

The NVIDIA Jetson AGX Orin 64GB Developer Kit makes it easy to get started with Jetson Orin. Compact size, lots of connectors, and up to 275 TOPS of Al performance make this developer kit perfect for prototyping advanced Al-powered robots and other autonomous machines.

The developer kit includes a Jetson AGX Orin 64GB module, and can emulate all the Jetson Orin modules. It supports multiple concurrent Al application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. Now you can develop solutions using your largest and most complex Al models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.

NVIDIA Jetson AGX Orin 64GB Developer Kit runs the entire Jetson software stack,as well as use-case specific application frameworks, including lsaac for robotics,DeepStream for vision A, and Riva for conversational Al. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pre-trained Al models from the NGC” catalog.

Jetson ecosystem partners offer additional Al and system software, developer tools, and custom software development. Ecosystem partners also offer cameras and other sensors for Jetson, as well as carrier boards and design services for your product.

Get the computing capability of more than eight Jetson AGX Xavier systems in a developer kit that integrates the latest NVIDIA GPU technology with the world’s most advanced deep learning software stack. Now, you’ll have the flexibility to create the next generation of Al solutions.

Figure: NVIDIA Jetson AGX Orin Developer Kit Overview

JetPack SDK

The JetPack SDK is compatible with all Jetson modules and developer kits. It is a comprehensive solution for building AI applications and provides a robust software foundation for Jetson AGX Orin. It includes the latest Linux driver package (L4T) for the Linux operating system, as well as the CUDA-X acceleration libraries and APIs for deep learning, computer vision, accelerated computing, and multimedia.

• TensorRT and cuDNN are used for high-performance deep learning applications.
• CUDA-X is a CUDAGPU acceleration application that spans multiple domains.
• NVIDIA Container Runtime is used for containerized GPU-accelerated applications.
• The multimedia API package is used for camera and sensor driver development.
• VisionWorks, OpenCV and VPI are used for visual computing.
• Examples of various demo applications.

DeepStream SDK

Building and deploying AI-based intelligent video analytics applications and services using DeepStream, which provides a multi-platform scalable framework with TLS security. It can be deployed at the edge and connected to any cloud.

Figure: DeepStream SDK

Simplifying workflow with the NGC Catalog

The GPU-optimized software hub for deep learning, machine learning, and high-performance computing accelerates deployment within development workflows.

Figure: Simplifying workflow with the NGC Catalog

NVIDIA Transfer Learning Toolkit

Accelerate AI training speed by over 10x and enable development like a zero-code professional.

Figure: NVIDIA Transfer Learning Toolkit

Embarking on the creation of an AI/ML system from scratch requires substantial investments of both time and resources, whereas transfer learning can efficiently extract learned features from an existing neural network model and apply them to a new model. The NVIDIA Transfer Learning Toolkit (TLT) is an innovative AI toolkit that significantly simplifies the complexity of AI/DL frameworks, enabling users to rapidly build production-quality trained models without coding.